Thomas Klassen

Helmut Schmidt University

Papers

6

Total Citations

32

H-Index

4

About

Thomas Klassen is a leading researcher in the field of cold spray technology, with a focused expertise in automation, robotic guidance, and additive manufacturing for industrial repair applications. His work centers on transforming cold spraying from a manual process into a precise, digitally-driven manufacturing technique. Klassen’s major contributions include developing generic path design and automated trajectory planning for robot-guided cold spray deposition, enabling flexible and controlled material buildup. He has pioneered methods for 3D volume construction and knowledge-based optimization, specifically targeting the high-stakes repair of aircraft components and other oxidation-sensitive materials. His research addresses the critical challenge of geometric shape restoration while maintaining superior material properties. With his most cited paper, “Generic implementation of path design for spray deposition” (2023), garnering 11 citations, and a growing body of work from 2021 to 2025, his impact is steadily rising. Notably, his 2023 and 2025 papers on robot-guided pre-machining and full automation of the repair process highlight his commitment to creating a complete, automated repair workflow. For students and researchers, Klassen’s work represents the cutting edge of sustainable manufacturing, where robotics and materials science converge to extend the life of critical metallic components.

Research Focus

Key Achievements

4
H-Index
6
Papers
32
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Generic implementation of path design for spray deposition: Programming schemes, processing and characterization for cold spraying
11 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Helmut Schmidt University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago